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Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
Abstract: Abstract Meaning Representation (AMR) is a sentence-level meaning representation based on predicate argument structure. One of the challenges we find in AMR parsing is to capture the structure of complex sentences which expresses the relation between predicates. Knowing the core part of the sentence structure in advance may be beneficial in such a task. In this paper, we present a list of dependency patterns for English complex sentence constructions designed for AMR parsing. With a dedicated pattern matcher, all occurrences of complex sentence constructions are retrieved from an input sentence. While some of the subordinators have semantic ambiguities, we deal with this problem through training classification models on data derived from AMR and Wikipedia corpus, establishing a new baseline for future works. The developed complex sentence patterns and the corresponding AMR descriptions will be made public. ...
Keyword: Computational Linguistics; Data Management System; FOS Languages and literature; Linguistics; Natural Language Processing; Semantics
URL: https://underline.io/lecture/29801-dependency-patterns-of-complex-sentences-and-semantic-disambiguation-for-abstract-meaning-representation-parsing
https://dx.doi.org/10.48448/vpec-h051
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2
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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3
10D: Phonology, Morphology and Word Segmentation #1 ...
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4
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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5
19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
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18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
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7
The Match-Extend Serialization Algorithm in Multiprecedence ...
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8
Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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9
Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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11
Including Signed Languages in Natural Language Processing ...
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12
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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13
The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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14
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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15
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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16
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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17
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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18
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ...
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19
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations ...
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20
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements ...
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